dblp: Ming Zhao 0010 (original) (raw)

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• affiliation: Ministry of Transport, China Waterborne Transport Research Institute, Beijing, China

Other persons with the same name

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• Ming Zhao — disambiguation page

• Ming Zhao 0001 — Tsinghua University, National Laboratory for Information Science and Technology, Beijing, China

• Ming Zhao 0002 — Arizona State University, Tempe, AZ, USA (and 1 more)

• Ming Zhao 0003 — Google (and 1 more)

• Ming Zhao 0004 — Xi'an Jiatong University, China

• Ming Zhao 0005 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore

• Ming Zhao 0006 — Xi'an Jiaotong University, School of Mechanical Engineering, China (and 1 more)

• Ming Zhao 0007 — Central South University, School of Software, Changsha, China

• Ming Zhao 0008 — University of Science and Technology of China, School of Information Science and Technology, CAS Key Laboratory of Wireless-Optical Communications, Hefei, China

• Ming Zhao 0009 — Shanghai Maritime University, Department of Information Engineering / Department of Logistics Engineering, China (and 2 more)

• Ming Zhao 0011 — Yangtze University, School of Computer Science, Jingzhou, China

Other persons with a similar name

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2020 – today

• 2024
• 
  [j4]
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    Chaoran Xu, Ming Zhao, Hongjie Li:
    Data-driven simulation methodology for exploring optimal storage location assignment scheme in warehouses. Comput. Ind. Eng. 198: 110627 (2024)
• 2022
• 
  [j3]
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    Ying Tian, Ming Zhao, Ming Liu, Yajing Liao, Chong Huang, Mingyao Hu:
    Hybrid modeling methodology for integrating customers' behaviors into system simulation to improve service operations management. Simul. Model. Pract. Theory 115: 102445 (2022)
• 2021
• 
  [j2]
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    Ming Zhao, Xiang Liu, Zengfeng Sun:
    Development of decision support tool for clustering urban regional risk based on R-ArcGIS Bridge. Appl. Soft Comput. 110: 107621 (2021)

2010 – 2019

• 2019
• 
  [j1]
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    Ming Zhao, Xufei Yao, Jun Sun, Shuning Zhang, Jing Bai:
    GIS-Based Simulation Methodology for Evaluating Ship Encounters Probability to Improve Maritime Traffic Safety. IEEE Trans. Intell. Transp. Syst. 20(1): 323-337 (2019)

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